Microscope-Cockpit: Python-based bespoke microscopy for bio-medical science.

Adaptive optics (AO) Artificial Intelligence (AI) Bespoke microscope Free and open source software Imaging Machine Learning (ML) Microscope hardware device control Microscope-Python Super resolution microscopy

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2021
Historique:
accepted: 04 01 2022
pubmed: 8 4 2021
medline: 8 4 2021
entrez: 7 6 2023
Statut: epublish

Résumé

We have developed "Microscope-Cockpit" (Cockpit), a highly adaptable open source user-friendly Python-based Graphical User Interface (GUI) environment for precision control of both simple and elaborate bespoke microscope systems. The user environment allows next-generation near instantaneous navigation of the entire slide landscape for efficient selection of specimens of interest and automated acquisition without the use of eyepieces. Cockpit uses "Python-Microscope" (Microscope) for high-performance coordinated control of a wide range of hardware devices using open source software. Microscope also controls complex hardware devices such as deformable mirrors for aberration correction and spatial light modulators for structured illumination via abstracted device models. We demonstrate the advantages of the Cockpit platform using several bespoke microscopes, including a simple widefield system and a complex system with adaptive optics and structured illumination. A key strength of Cockpit is its use of Python, which means that any microscope built with Cockpit is ready for future customisation by simply adding new libraries, for example machine learning algorithms to enable automated microscopy decision making while imaging.

Identifiants

pubmed: 37283605
doi: 10.12688/wellcomeopenres.16610.1
pmc: PMC10240544
doi:

Types de publication

Journal Article

Langues

eng

Pagination

76

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

Copyright: © 2022 Phillips MA et al.

Déclaration de conflit d'intérêts

Competing interests: Martin Booth declares a significant interest in Aurox Ltd., whose microscopes were used in this work.

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Auteurs

Mick A Phillips (MA)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.
Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK.
Division of Structural Biology, The Henry Wellcome Building for Genomic Medicine,, Roosevelt Drive, Oxford, OX3 7BN, UK.

David Miguel Susano Pinto (DM)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Nicholas Hall (N)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Julio Mateos-Langerak (J)

IGH, Univ Montpellier, Montpellier, 34396, France.

Richard M Parton (RM)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Josh Titlow (J)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Danail V Stoychev (DV)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Thomas Parks (T)

Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK.

Tiago Susano Pinto (T)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

John W Sedat (JW)

Department of Biochemistry & Biophysics, UCSF, San Francisco, CA, 94158, USA.

Martin J Booth (MJ)

Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.

Ilan Davis (I)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.

Ian M Dobbie (IM)

Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.
Integrated Imaging Center, Department of Biology, Johns Hopkins University, 3400 N. Charles St., Baltimore, Maryland, 21218, USA.

Classifications MeSH